Federated and Efficient Learning

There are two intertwined challenges to learning: learning algorithms must become more efficient in their use of resources, and in many applications, data transport to a central compute unit is often impractical or even prohibited by regulations. Both challenges are addressed by methods from federated and efficient learning.

Contact

Portrait of Dr. Michael Bussmann

Dr. Michael Bussmann

Helmholtz Zentrum Dresden Rossendorf (HZDR)

m.bussmann@hzdr.de

Find out more about our research in the field of AI Algorithms and Methods.

TU
Universität
Max
Leibnitz-Institut
Helmholtz
Hemholtz
Institut
Fraunhofer-Institut
Fraunhofer-Institut
Max-Planck-Institut
Institute
Max-Plank-Institut